SOFTWARE AND HARDWARE COMPLEX FOR OPTIMIZATION OF 3D PRINTED PARTS USING THE DIFFERENTIAL SCANNING CALORIMETRY METHOD

Sadovnikov Viktor Konstantinovich

The FDM process, which is a promising additive manufacturing technology, can be optimized by using melts. To take into account the most significant variables, a numerical and experimental roadmap for optimizing this process was proposed, taking into account some physicochemical and mechanical characteristics, including the thermal behavior of materials. Using the Response Surface Methodology (RSM), we can take into account the influence of parameters such as melting point temperature, table temperature and printing speed. This yields confidence bounds for properties such as crystallinity, Young's modulus, maximum tensile stress, and elongation at break. The use of this data in the developed program code shows that the interaction of various parameters plays a key role in determining rheological characteristics, including the temperature profile of the filament during deposition. This results in favorable adhesion between the deposited layers in the FDM printing process. These results motivate us to continue to work on solving existing problems and bring us closer to the goals of optimizing the FDM process for industrial applications.

Keywords:FDM, RSM, temperature evolution, inter-layer bonding.